Compensate for performance degradation through vehicular knowledge networking
Systems and methods are provided for compensating for performance degradation on an edge of the vehicular knowledge network. An example includes detecting a performance result of first guidance performed by a first vehicle in a first driving environment that differs from an expected result associated with the first guidance associated with a second driving environment that corresponds to the first driving environment, identifying behavior executed by the first vehicle associated with the detected performance result based on a comparison between the first driving environment to the second driving environment, and, based on detecting that a second vehicle is executing the identified behavior, generate second guidance to mitigate the identified behavior being executed by the second vehicle.
1 . A method comprising:
detecting a performance result of first guidance performed by a first vehicle in a first driving environment that differs from an expected result associated with the first guidance associated with a second driving environment that corresponds to the first driving environment;
identifying negative driving behavior executed by the first vehicle associated with the detected performance result based on a comparison between the first driving environment to the second driving environment; and
in response to detecting that a second vehicle is also executing the identified negative driving behavior, and in response to determining that the negative driving behavior contrasts with driving behavior performed by one or more connected vehicles, generate second guidance to the second vehicle, the second guidance being generated to reduce or eliminate the negative driving behavior being executed by the second vehicle.
2 . The method of claim 1 , further comprising:
determining that the second driving environment corresponds to the first driving environment based on a first set of contextual features associated with the first driving environment comprising a threshold amount of contextual features comprised in a second set of contextual features associated with the second driving environment.
3 . The method of claim 2 , wherein the first set of contextual features comprises at least one of static features and dynamic features obtained from the first driving environment.
4 . The method of claim 1 , wherein detecting a performance result comprises:
after the first vehicle performs the first guidance, receiving information representative of the performance result of the first guidance; and
comparing the performance result to the expected result.
5 . The method of claim 1 , wherein identifying the behavior comprises:
inferring a contrasting contextual feature based on comparing a first set of contextual features associated with the first driving environment to a second set of contextual features of a second set of contextual factors associated with the second driving environment.
6 . The method of claim 5 , wherein the contrasting contextual feature is a contextual feature that differs between the first set of contextual features and the second set of contextual features.
7 . The method of claim 5 , inferring a contextual feature difference comprises:
identifying one or more contextual features included in the first set of contextual features that are absent from the second set of contextual features.
8 . The method of claim 5 , inferring a contextual feature difference comprises:
identifying one or more contextual features included in the second set of contextual features that are absent from the first set of contextual features.
9 . The method of claim 5 , wherein the contrasting contextual feature comprises a dynamic feature.
10 . The method of claim 5 , wherein mitigating the identified behavior being executed by the second vehicle comprises mitigating the inferred contrasting contextual feature.
11 . The method of claim 1 , wherein the second guidance comprises coordination between a plurality of vehicles within a third driving environment in which the second vehicle is traveling, wherein the coordination is configured to mitigate the identified contrasting behavior of the second vehicle.
12 . An apparatus of a vehicular knowledge network, the apparatus comprising:
a memory storing instructions; and
one or more processors communicably coupled to the memory and configured to execute the instructions to:
obtain a performance result of first guidance performed by a first vehicle in a first driving environment, wherein the first guidance is associated with a second driving environment that corresponds to the first driving environment;
determine that the performance result differs from an expected result associated with the first driving environment;
based on the determination, infer negative driving behavior of the first vehicle based on a comparison between the first driving environment to the second driving environment; and
in response to detecting that a second vehicle is also executing the inferred negative driving behavior, and in response to determining that the negative driving behavior contrasts with driving behavior performed by one or more connected vehicles, generate second guidance configured to the second vehicle, the second guidance being generated to reduce or eliminate the negative driving behavior being executed by the second vehicle.
13 . The apparatus of claim 12 , wherein the apparatus is one of a vehicle and a server.
14 . The apparatus of claim 12 , wherein inferring the behavior of the first vehicle comprises:
inferring a contrasting contextual feature based on comparing a first set of contextual features associated with the first driving environment to a second set of contextual features of a second set of contextual factors associated with the second driving environment.
15 . The apparatus of claim 14 , wherein the contrasting contextual feature is a contextual feature that differs between the first set of contextual features and the second set of contextual features.
16 . The apparatus of claim 14 , wherein the contrasting contextual feature comprises a dynamic feature.
17 . A system comprising:
a memory storing instructions; and
one or more processors configured to execute the instructions to:
identify negative driving behavior of a first vehicle in a first driving environment that deviates from expected driving behavior based on the first vehicle executing first guidance; and
obtain a performance result of first guidance performed by a first vehicle in a first driving environment, wherein the first guidance is associated with a second driving environment that corresponds to the first driving environment;
determine that the performance result differs from an expected result associated with the first driving environment;
based on the determination, infer negative driving behavior of the first vehicle based on a comparison between the first driving environment to the second driving environment; and
in response to detecting that a second vehicle is also executing the inferred negative driving behavior, and in response to determining that the negative driving behavior contrasts with driving behavior performed by one or more connected vehicles, generate second guidance configured to the second vehicle, the second guidance being generated to reduce or eliminate the negative driving behavior being executed by the second vehicle.
18 . The system of claim 17 , wherein the first guidance is knowledge-based guidance obtained based on a determination that a first set of contextual features associated with the first driving environment correspond to a second set of contextual features associated with the knowledge-based guidance.
19 . The system of claim 18 , wherein identifying the negative driving behavior comprises determining a contextual feature that differs between the first set of contextual features and the second set of contextual features.
20 . The system of claim 17 , wherein the compensation guidance comprises coordination between a plurality of vehicles within a second driving environment in which the second vehicle is traveling, wherein the coordination is configured to mitigate the identified negative driving behavior of the second vehicle.